Hi Ted 2011/10/25 Ted Dunning <[email protected]>
> Tommaso, > > Can you suggest a use case for this? What problem are you trying to solve? > I've used this to create a model to make predictions about how much one "should" pay a product given existing training set of <product-features,prices>. > > Are you suggesting something more advanced than just changing the gradient > on the existing stochastic gradient descent code? > > Have you seen the conjugate gradient code that was just committed? > I didn't have a look at that code yet but I'll surely check both pieces and see if / how I could manage to make it do the job. Thank you very much. Tommaso > > On Tue, Oct 25, 2011 at 12:05 AM, Tommaso Teofili < > [email protected] > > wrote: > > > Hi all, > > recently I've been working with Octave [1] to implement the gradient > > descent > > algorithm for linear regression (with uni/multi features) and I wonder if > > such an implementation exists here in Mahout as Octave is good for > > prototyping while I'd want to integrate this algorithm in a plain Java > app. > > Regards, > > Tommaso > > > > [1] : http://www.gnu.org/software/octave/ > > >
